From ac8f3682b5341a88c256f4ec79e7784d58448c17 Mon Sep 17 00:00:00 2001 From: qooba Date: Sun, 14 Jan 2024 02:25:27 +0100 Subject: [PATCH] add yummy llm --- yummy-rs/Cargo.toml | 1 + yummy-rs/tests/llm/config.yaml | 7 + yummy-rs/yummy-llm/Cargo.toml | 38 ++++ yummy-rs/yummy-llm/LICENSE | 204 ++++++++++++++++++ yummy-rs/yummy-llm/Makefile | 14 ++ yummy-rs/yummy-llm/README.md | 4 + yummy-rs/yummy-llm/src/common.rs | 6 + yummy-rs/yummy-llm/src/config.rs | 62 ++++++ yummy-rs/yummy-llm/src/lib.rs | 57 +++++ yummy-rs/yummy-llm/src/models/e5_model.rs | 94 ++++++++ yummy-rs/yummy-llm/src/models/mod.rs | 108 ++++++++++ yummy-rs/yummy-llm/src/server.rs | 40 ++++ .../tests/integration_models_lightgbm.rs | 37 ++++ 13 files changed, 672 insertions(+) create mode 100644 yummy-rs/tests/llm/config.yaml create mode 100644 yummy-rs/yummy-llm/Cargo.toml create mode 100644 yummy-rs/yummy-llm/LICENSE create mode 100644 yummy-rs/yummy-llm/Makefile create mode 100644 yummy-rs/yummy-llm/README.md create mode 100644 yummy-rs/yummy-llm/src/common.rs create mode 100644 yummy-rs/yummy-llm/src/config.rs create mode 100644 yummy-rs/yummy-llm/src/lib.rs create mode 100644 yummy-rs/yummy-llm/src/models/e5_model.rs create mode 100644 yummy-rs/yummy-llm/src/models/mod.rs create mode 100644 yummy-rs/yummy-llm/src/server.rs create mode 100644 yummy-rs/yummy-llm/tests/integration_models_lightgbm.rs diff --git a/yummy-rs/Cargo.toml b/yummy-rs/Cargo.toml index 2c95f1c..3dad653 100644 --- a/yummy-rs/Cargo.toml +++ b/yummy-rs/Cargo.toml @@ -6,6 +6,7 @@ members = [ "yummy-delta-py", "yummy-features", "yummy-features-py", + "yummy-llm", "yummy-ml", "yummy-ml-py", ] diff --git a/yummy-rs/tests/llm/config.yaml b/yummy-rs/tests/llm/config.yaml new file mode 100644 index 0000000..c3af3be --- /dev/null +++ b/yummy-rs/tests/llm/config.yaml @@ -0,0 +1,7 @@ +kind: embeddings +metadata: + name: jina-embeddings +spec: + normalize_embeddings: true + model_type: E5 + diff --git a/yummy-rs/yummy-llm/Cargo.toml b/yummy-rs/yummy-llm/Cargo.toml new file mode 100644 index 0000000..1e90553 --- /dev/null +++ b/yummy-rs/yummy-llm/Cargo.toml @@ -0,0 +1,38 @@ +[package] +name = "yummy-llm" +version.workspace = true +edition = "2021" +repository = "https://github.com/yummyml/yummy" +description = "LLM of the yummy-rs library" +license = "Apache-2.0" + +[dependencies] +yummy-core = { path = "../yummy-core" } +actix-web = "4" +serde = { version = "1.0", features = ["derive"] } +serde_yaml = "0.9" +async-trait = "0.1.57" +tokio = "1.20.0" +env_logger = "0.10.1" +chrono = "0.4.22" +derive_more = "0.99.17" +thiserror = "1.0" +#reqwest = "0.11.13" + +anyhow = { version = "1", features = ["backtrace"] } +byteorder = "1.4.3" +log = "0.4" +num-traits = "0.2.15" +rand = "0.8.5" +safetensors = "0.3.1" +serde_json = "1.0.99" +tokenizers = { version = "0.13.4", features = ["unstable_wasm"], default-features = false} + +candle = { git = "https://github.com/huggingface/candle.git", branch = "main", version = "0.3.2", package = "candle-core" } +candle-nn = { git = "https://github.com/huggingface/candle.git", branch = "main", version = "0.3.2" } +candle-transformers = { git = "https://github.com/huggingface/candle.git", branch = "main", version = "0.3.2" } +hf-hub = { version="0.3.0", features=["tokio"]} + +[features] +catboost = [] +#catboost = ["dep:catboost"] diff --git a/yummy-rs/yummy-llm/LICENSE b/yummy-rs/yummy-llm/LICENSE new file mode 100644 index 0000000..de4b130 --- /dev/null +++ b/yummy-rs/yummy-llm/LICENSE @@ -0,0 +1,204 @@ + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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+ .run() + .await +} diff --git a/yummy-rs/yummy-llm/src/models/e5_model.rs b/yummy-rs/yummy-llm/src/models/e5_model.rs new file mode 100644 index 0000000..eda3e99 --- /dev/null +++ b/yummy-rs/yummy-llm/src/models/e5_model.rs @@ -0,0 +1,94 @@ +use super::{ + config_pathbuf, tokenizer_pathbuf, weights_pathbuf, EmbeddingData, EmbeddingsModel, + EmbeddingsResponse, +}; +use crate::config::LLMSpec; +use anyhow::Error as E; +use candle::{DType, Device, Tensor}; +use candle_nn::VarBuilder; +use candle_transformers::models::bert::{BertModel, Config}; +use tokenizers::{PaddingParams, Tokenizer}; +use yummy_core::common::Result; + +#[derive(thiserror::Error, Debug)] +pub enum E5Error { + #[error("Wrong E5 config")] + WrongConfig, +} + +const E5_HF_REPO_ID: &str = "intfloat/e5-small-v2"; + +pub struct E5Model { + model: BertModel, + tokenizer: Tokenizer, + normalize_embeddings: Option, +} + +impl E5Model { + pub fn new(config: &LLMSpec) -> Result { + let model = weights_pathbuf(config, E5_HF_REPO_ID)?; + let tokenizer = tokenizer_pathbuf(config, E5_HF_REPO_ID)?; + let candle_config = config_pathbuf(config, E5_HF_REPO_ID)?; + let candle_config: Config = serde_json::from_str(&candle_config)?; + let device = &Device::Cpu; + let mut tokenizer = tokenizers::Tokenizer::from_file(tokenizer).map_err(E::msg)?; + + if let Some(pp) = tokenizer.get_padding_mut() { + pp.strategy = tokenizers::PaddingStrategy::BatchLongest + } else { + let pp = PaddingParams { + strategy: tokenizers::PaddingStrategy::BatchLongest, + ..Default::default() + }; + tokenizer.with_padding(Some(pp)); + } + + let vb = unsafe { VarBuilder::from_mmaped_safetensors(&[model], DType::F32, device)? }; + let model = BertModel::load(vb, &candle_config)?; + Ok(E5Model { + model, + tokenizer, + normalize_embeddings: config.normalize_embeddings, + }) + } +} + +impl EmbeddingsModel for E5Model { + fn forward(&self, input: Vec) -> Result { + let device = &Device::Cpu; + let tokens = self.tokenizer.encode_batch(input, true).unwrap(); + let token_ids: Vec = tokens + .iter() + .map(|tokens| { + let tokens = tokens.get_ids().to_vec(); + Tensor::new(tokens.as_slice(), device) + }) + .collect::, _>>()?; + + let token_ids = Tensor::stack(&token_ids, 0)?; + let token_type_ids = token_ids.zeros_like()?; + + let embeddings = self.model.forward(&token_ids, &token_type_ids)?; + let (_n_sentence, n_tokens, _hidden_size) = embeddings.dims3()?; + let embeddings = (embeddings.sum(1)? / (n_tokens as f64))?; + let embeddings = if let Some(true) = self.normalize_embeddings { + embeddings.broadcast_div(&embeddings.sqr()?.sum_keepdim(1)?.sqrt()?)? + } else { + embeddings + }; + let embeddings_data = embeddings + .to_vec2()? + .iter() + .map(|x| EmbeddingData { + embedding: x.to_vec(), + }) + .collect(); + + Ok(EmbeddingsResponse { + data: embeddings_data, + }) + } +} + +#[cfg(test)] +mod tests {} diff --git a/yummy-rs/yummy-llm/src/models/mod.rs b/yummy-rs/yummy-llm/src/models/mod.rs new file mode 100644 index 0000000..1e3bb43 --- /dev/null +++ b/yummy-rs/yummy-llm/src/models/mod.rs @@ -0,0 +1,108 @@ +pub mod e5_model; +use std::path::PathBuf; + +use crate::config::{LLMEndpoint, LLMSpec, ModelType}; +use e5_model::E5Model; +use serde::{Deserialize, Serialize}; +use yummy_core::common::Result; + +#[derive(thiserror::Error, Debug)] +pub enum ModelFactoryError { + #[error("Wrong model type")] + WrongModelType, +} + +pub trait EmbeddingsModel { + fn forward(&self, input: Vec) -> Result; +} + +#[derive(Deserialize, Serialize, Debug, Clone)] +pub struct EmbeddingsResponse { + data: Vec, +} + +#[derive(Deserialize, Serialize, Debug, Clone)] +pub struct EmbeddingData { + embedding: Vec, +} + +pub struct LLMModelFactory {} + +impl LLMModelFactory { + pub fn embedding_model(config: &LLMEndpoint) -> Result> { + if let LLMEndpoint::Embeddings { metadata: _, spec } = config { + if let ModelType::E5 = spec.model_type { + Ok(Box::new(E5Model::new(spec)?)) + } else { + todo!() + } + } else { + Err(Box::new(ModelFactoryError::WrongModelType)) + } + } +} + +pub fn weights_pathbuf(config: &LLMSpec, hf_repo_id: &str) -> Result { + use hf_hub::{api::sync::Api, Repo, RepoType}; + let model = match &config.model { + Some(model_path) => std::path::PathBuf::from(model_path), + None => { + let repo_id = if let Some(rid) = &config.hf_model_repo_id { + rid + } else { + hf_repo_id + }; + + let api = Api::new()?.repo(Repo::new(repo_id.to_string(), RepoType::Model)); + + if let Some(true) = config.use_pth { + api.get("pytorch_model.bin")? + } else { + api.get("model.safetensors")? + } + } + }; + + Ok(model) +} + +pub fn tokenizer_pathbuf(config: &LLMSpec, hf_repo_id: &str) -> Result { + use hf_hub::{api::sync::Api, Repo, RepoType}; + let tokenizer = match &config.tokenizer { + Some(tokenizer_path) => std::path::PathBuf::from(tokenizer_path), + None => { + let repo_id = if let Some(rid) = &config.hf_tokenizer_repo_id { + rid + } else { + hf_repo_id + }; + + let api = Api::new()?.repo(Repo::new(repo_id.to_string(), RepoType::Model)); + + api.get("tokenizer.json")? + } + }; + + Ok(tokenizer) +} + +pub fn config_pathbuf(config: &LLMSpec, hf_repo_id: &str) -> Result { + use hf_hub::{api::sync::Api, Repo, RepoType}; + let config = match &config.config { + Some(config_path) => std::path::PathBuf::from(config_path), + None => { + let repo_id = if let Some(rid) = &config.hf_tokenizer_repo_id { + rid + } else { + hf_repo_id + }; + + let api = Api::new()?.repo(Repo::new(repo_id.to_string(), RepoType::Model)); + + api.get("config.json")? + } + }; + let config = std::fs::read_to_string(config)?; + + Ok(config) +} diff --git a/yummy-rs/yummy-llm/src/server.rs b/yummy-rs/yummy-llm/src/server.rs new file mode 100644 index 0000000..a084762 --- /dev/null +++ b/yummy-rs/yummy-llm/src/server.rs @@ -0,0 +1,40 @@ +use crate::config::LLMConfig; +use crate::models::EmbeddingsModel; +use actix_web::http::StatusCode; +use actix_web::{error, web, HttpResponse, Responder}; +use derive_more::{Display, Error}; +use serde::{Deserialize, Serialize}; +use yummy_core::common::Result; + +#[derive(Deserialize, Serialize, Debug, Clone)] +pub struct EmbeddingsRequest { + input: Vec, +} + +#[derive(Debug, Display, Error)] +#[display(fmt = "request error: {name}")] +pub struct LLMError { + name: &'static String, + status_code: u16, +} + +impl error::ResponseError for LLMError { + fn status_code(&self) -> StatusCode { + let status_code: StatusCode = + StatusCode::from_u16(self.status_code).unwrap_or(StatusCode::INTERNAL_SERVER_ERROR); + status_code + } +} + +pub async fn health() -> impl Responder { + HttpResponse::Ok().body("Hey there!") +} + +pub async fn embeddings( + embeddings_request: web::Json, + embeddings_model: web::Data>, + _config: web::Data, +) -> Result { + let resp = embeddings_model.forward(embeddings_request.input.clone())?; + Ok(web::Json(resp)) +} diff --git a/yummy-rs/yummy-llm/tests/integration_models_lightgbm.rs b/yummy-rs/yummy-llm/tests/integration_models_lightgbm.rs new file mode 100644 index 0000000..be445e3 --- /dev/null +++ b/yummy-rs/yummy-llm/tests/integration_models_lightgbm.rs @@ -0,0 +1,37 @@ +use yummy_core::common::Result; +use yummy_llm::config::{LLMConfig, LLMEndpoint}; +use yummy_llm::models::LLMModelFactory; + +#[tokio::test] +async fn load_model_and_predict() -> Result<()> { + let path = "../tests/llm/config.yaml".to_string(); + //let path = "../tests/mlflow/catboost_model/iris_my_model".to_string(); + let config = LLMConfig::new(&path).await?; + println!("{config:?}"); + + let input = vec![ + String::from("Elixir of Eternal Twilight: Grants visions of realms beyond the veil."), + String::from("Potion of Liquid Starlight: Imbues the drinker with celestial clarity."), + ]; + + let embeddings_config = config + .endpoints + .iter() + .filter(|x| { + matches!( + x, + LLMEndpoint::Embeddings { + metadata: _m, + spec: _s, + } + ) + }) + .last() + .expect("Wrong configuration"); + + let e5_model = LLMModelFactory::embedding_model(embeddings_config)?; + let embeddings = e5_model.forward(input)?; + + println!("EMBEDDINGS: {embeddings:#?}"); + Ok(()) +}